Gianluca Mancusi is an AI research scientist and engineer with a PhD in Computer Vision and Deep Learning and nine years of experience bridging academic research and industry. He specializes in multiple object tracking, parameter-efficient fine-tuning, and continual learning, with publications at ICCV, NeurIPS and CVIU and collaborations with partners like Tetra Pak. Gianluca has transitioned research into practice—co-founding a startup as CTO, building a modular Incremental Open-Vocabulary Object Detection library (DitHub) during a postdoc, and now applying his expertise at Mercuria. He leverages HPC resources and a strong systems background to produce reproducible, production-minded models for distance estimation and 3D monocular tasks. Colleagues describe him as a researcher who pairs rigorous empirical evaluation with pragmatic engineering to solve domain-specific problems.
9 years of coding experience
6 years of employment as a software developer
Diploma Istituto Tecnico e Professionale, Informatics, 100/100, Diploma Istituto Tecnico e Professionale, Informatics, 100/100 at ITCG E. Mattei Casamicciola Terme (NA)
Doctor of Philosophy - PhD, Computer vision and Artificial intelligence, Doctor of Philosophy - PhD, Computer vision and Artificial intelligence at Università degli Studi di Modena e Reggio Emilia
Contributions:28 commits, 24 pushes, 1 branch in 3 days
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Gianluca Mancusi - AI Research Scientist And Engineer at Mercuria